Papers by Runlong Yu

    1 papers
    LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment (2025.emnlp-main)

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    Challenge: Recent advances in large language models (LLMs) show promise in simulating complex scenarios.
    Approach: They examine multiple LLMs to proactively estimate perceived earthquake impacts using multimodal datasets and multimodal imagery.
    Outcome: The framework generates Modified Mercalli Intensity (MMI) predictions at zip code and county scales using multimodal datasets.

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